June 2022
Volume 63, Issue 7
Open Access
ARVO Annual Meeting Abstract  |   June 2022
Estimation of the full shape of the crystalline lens from optical coherence tomography images using Eigenlenses.
Author Affiliations & Notes
  • Eduardo Martinez-Enriquez
    Instituto de Óptica, Consejo Superior de Investigaciones Cientificas, Madrid, Madrid, Spain
  • Andrea Curatolo
    Instituto de Óptica, Consejo Superior de Investigaciones Cientificas, Madrid, Madrid, Spain
  • Judith Sophie Birkenfeld
    Instituto de Óptica, Consejo Superior de Investigaciones Cientificas, Madrid, Madrid, Spain
  • Ana Maria Gonzalez
    Instituto de Óptica, Consejo Superior de Investigaciones Cientificas, Madrid, Madrid, Spain
  • Alberto de Castro
    Instituto de Óptica, Consejo Superior de Investigaciones Cientificas, Madrid, Madrid, Spain
  • Ashik Mohamed
    Ophthalmic Biophysics, LV Prasad Eye Institute, Hyderabad, Telangana, India
    Brien Holden Vision Institute, Sydney, New South Wales, Australia
  • Marco Ruggeri
    Ophthalmic Biophysics Center, Bascom Palmer Eye Institute, University of Miami School of Medicine, Miami, Florida, United States
    Department of Biomedical Engineering, University of Miami College of Engineering, Coral Gables, Florida, United States
  • Fabrice Manns
    Ophthalmic Biophysics Center, Bascom Palmer Eye Institute, University of Miami School of Medicine, Miami, Florida, United States
    Department of Biomedical Engineering, University of Miami College of Engineering, Coral Gables, Florida, United States
  • Susana Marcos
    Instituto de Óptica, Consejo Superior de Investigaciones Cientificas, Madrid, Madrid, Spain
    Center for Visual Science. The Institute of Optics. Flaum Eye Institute, University of Rochester, Rochester, New York, United States
  • Footnotes
    Commercial Relationships   Eduardo Martinez-Enriquez Alcon, Code C (Consultant/Contractor), US2017 0316571, Code P (Patent), EP20382385, Code P (Patent); Andrea Curatolo None; Judith Birkenfeld None; Ana Gonzalez None; Alberto de Castro None; Ashik Mohamed None; Marco Ruggeri None; Fabrice Manns None; Susana Marcos Alcon, Code C (Consultant/Contractor), US2017 0316571, Code P (Patent), EP20382385, Code P (Patent), WO2012146811A1 , Code P (Patent)
  • Footnotes
    Support  Spanish Government FIS2017-84753-R , PID2020-115191RB-I00 & Juan de la Cierva (IJC2018-037508-I); L'Oréal-UNESCO “For Women in Science” Spain; NIH NIE P30EY 001319; Unrestricted Funds Research to Prevent Blindness, NY; National Institutes of Health (R01EY021834; a National Institutes of Health Center Core Grant (P30EY014801); Florida Lions Eye Bank and Beauty of Sight Foundation; Hyderabad Eye Research Foundation.
Investigative Ophthalmology & Visual Science June 2022, Vol.63, 3071 – F0543. doi:
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    • Get Citation

      Eduardo Martinez-Enriquez, Andrea Curatolo, Judith Sophie Birkenfeld, Ana Maria Gonzalez, Alberto de Castro, Ashik Mohamed, Marco Ruggeri, Fabrice Manns, Susana Marcos; Estimation of the full shape of the crystalline lens from optical coherence tomography images using Eigenlenses.. Invest. Ophthalmol. Vis. Sci. 2022;63(7):3071 – F0543.

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      © ARVO (1962-2015); The Authors (2016-present)

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Abstract

Purpose : Estimating the full 3-D biometry of the crystalline lens is important for understanding its changes with aging, accommodation or myopia development, and for improving intraocular lens calculations. In Martinez-Enriquez IOVS 2016, we proposed a 2-region parametric model (2RM) to estimate the full lens shape ex vivo and in vivo from optical coherence tomography (OCT) images. Martinez-Enriquez BOE 2020 described a novel method for the representation of the full shape of the lens ex vivo (Eigenlenses). Here we demonstrate the use of Eigenlenses to estimate the full shape of the lens in vivo, in comparison with the 2RM method.

Methods : OCT images were obtained on one eye of 17 human subjects (26±2 y/o; unaccommodated; 5 repetitions) using a custom-developed swept source OCT system (200K A-scans/s, axial depth=16 mm, pixel size=8.3 μm). Surface segmentation and distortion correction were performed to obtain 3-D models of the lens within the pupil. From these models, the full shape of the lens represented by 6 Eigenlenses coefficients was estimated using multiple linear regression. The following parameters were quantified: diameter (DIA), volume (VOL), equatorial plane position (EPP) and lens surface area (LSA). Results from the two methods (2RM and Eigenlenses) were compared in terms of repeatability (standard deviation of repeated measurements) and Pearson coefficient (ρ).

Results : The mean values of lens parameters across subjects were DIA=8.86±0.12/8.70±0.25 mm, VOL=140±7/136±9 mm3, LSA=152±4/150±7 mm2, and EPP=1.43±0.03/1.56±0.08 mm, for Eigenlenses/2RM, respectively. Repeatability was DIA_SD=0.06/0.11 mm, VOL_SD=2.3/3.3 mm3, LSA_SD=1.8/3.1 mm2 and EPP_SD=0.029/0.041 mm for Eigenlenses/2RM, respectively. The correlation between the parameters calculated with both methods were ρDIA=0.89, ρVOL=0.94, ρLSA=0.92 and ρEPP=0.88. R2 from multiple linear regression between the first two Eigenlenses coefficients, which are related with the size and aspect ratio of the lens, and the DIA and VOL were R2=0.98 and R2=0.997 respectively. Using just these two coefficients only reduced the accuracy of DIA by 0.017 mm and VOL by 0.3 mm3.

Conclusions : 2RM and Eigenlenses are both robust methods to estimate the full lens shape parameters in vivo. However, the Eigenlenses method is more repeatable and efficient, requiring only two coefficients for an accurate estimation of lens volume and diameter.

This abstract was presented at the 2022 ARVO Annual Meeting, held in Denver, CO, May 1-4, 2022, and virtually.

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